讲师

姓名：和鑫磊

职称：讲师

所在专业：生态学

个人简介：和鑫磊，男，1993年5月生，山西汾阳人。长期从事生态水文过程模拟与数据同化研究。在国外著名期刊上发表SCI论文30余篇，1篇SCI论文入选ESI高被引论文；申请国家发明专利1项，授权计算机软件著作权5项；主持山西省青年基金项目1项，中国地调局联合开放基金1项，参与国家重点研发计划项目、中国科学院战略性先导科技专项、国家自然科学基金面上项目等；所构建的多源同化系统被美国国家大气研究中心采纳，并担任多个学术期刊的审稿人。

研究方向：

生态水文过程模拟与数据同化、GIS与遥感应用研究

招生方向：生态学，欢迎生态学、遥感和GIS、资源环境的同学踊跃报考。

教育经历：

2017.09-2024.01，北京师范大学，地图学与地理信息系统，博士

2021.11-2022.11，加拿大萨斯喀彻温大学，联合培养博士

2013.09-2017.06，哈尔滨师范大学，地理信息科学，学士

工作经历：

2024.2-至今，山西大学，讲师

主持或参加的科研项目：

1. 山西省基础研究计划项目-青年项目《数据-机理双驱动的地表蒸散发估算研究》，2024-2027（主持）

2. 中国地质调查局联合开放基金《融合多源观测数据与陆面过程模型的地表蒸散发估算研究》，2024-2026（主持）

3. 国家重点研发计划项目《极端生态环境水循环关键参量监测设备与物联网监测系统研制和示范》，2023-2026，参加

4. 中国科学院战略性先导科技专项《祁连山“山水林田湖草”系统综合监测与评估》，2018-2023，参加

5. 国家自然科学基金面上项目《融合天-空-地一体化观测与陆面过程模型估算地表水热通量研究》，2022-2025，参加

发表学术论文：

详见ResearchGate学术主页： https://www.researchgate.net/profile/Xinlei-He-3 （*通讯作者）

He, X. L., Liu, S. M*., Bateni, S. M., Xu, T. R*., Jun, C., Kim, D., Li, X., Song, L. S., Zhao, L., Xu, Z. W., Wei, J. X. 2024. Innovative approach for estimating evapotranspiration and gross primary productivity by integrating land data assimilation, machine learning, and multi-source observations. Agricultural and Forest Meteorology.

He, X. L., Li, Y. P., Liu, S. M*., Xu, T. R., Chen, F., Li, Z. H., Liu, R., Zhang, Z., Xu, Z. W*., Peng, Z. X., Zheng, C. 2023. Improving regional climate simulations based on a hybrid data assimilation and machine learning method. Hydrology and Earth System Sciences.

He, X. L., Liu, S. M*., Xu, T. R., Yu, K. L., Gentine, P., Zhang, Z., et al., 2022. Improving predictions of evapotranspiration by integrating multi-source observations and land surface model. Agricultural Water Management. 

He, X. L., Xu, T. R*., Bateni, S. M., Ek, M., Xiao, J. F., Liu, S. M., et al., 2021. Estimation of Gross Primary Productivity, Sensible and Latent Heat Fluxes by Assimilating Land Surface Temperature and Leaf Area Index. Water Resources Research.

He, X. L., Xu, T. R*., Bateni, S. M., Ek, M., Liu, S. M., Chen, F. 2020. Mapping Regional Evapotranspiration in Cloudy Skies via Variational Assimilation of All‐Weather Land Surface Temperature Observations. Journal of Hydrology. 

He, X. L., Xu, T. R*., Xia, Y. L., Bateni, S. M., Guo, Z.X., Liu, S. M., et al., 2020. A Bayesian Three‐Cornered Hat (BTCH) Method: Improving the Terrestrial Evapotranspiration Estimation. Remote Sensing.

He, X. L., Xu, T. R*., Bateni, S. M., Neale, C., Liu, S. M., Auligne, T. et al., 2019. Mapping Regional Turbulent Heat Fluxes via Assimilation of MODIS Land Surface Temperature Data into an Ensemble Kalman Smoother Framework. Earth and Space Science. 

He, X. L., Xu, T. R*., Bateni, S. M., Neale, C., Auligne, T., et al., 2018. Evaluation of Weak-Constraint Data Assimilation Approach for Estimating Turbulent Heat Fluxes at Six Sites. Remote Sensing.

Xu, T. R., Chen, F., He, X. L*., Barlage, M., Zhang, Z., Liu, S. M., et al., 2021. Improve the performance of the Noah-MP-Crop model by jointly assimilating soil moisture and vegetation phenology data. Journal of Advances in Modeling Earth Systems.

Xu, T. R*., He, X. L., Bateni, S. M., Auligne, T., Liu, S M., et al., 2019. Mapping Regional Turbulent Heat Fluxes via Variational Assimilation of Land Surface Temperature Data from Polar Orbiting Satellites. Remote Sensing of Environment.

Xu, T. R., Guo, Z. X., Liu, S. M*., He, X. L., Meng, Y. F. Y., Xu, Z. W. et al., 2018. Evaluating different machine learning methods for upscaling evapotranspiration from flux towers to the regional scale. Journal of Geophysical Research - Atmospheres.

Zhao, J. X., Xu, T. R*., Xiao, J. F., Liu, S. M., Mao, K. B., Song, L. S., Yao, Y. J., He, X. L., Feng, H. Z., 2020. Responses of Water Use Efficiency to Drought in Southwest China. Remote Sensing.

Xu, Z. W., Liu, S. M*., Zhu, Z. L., Zhou, J., Xu, T. R., Yang, X. F., Zhang, Y., He, X. L., 2020. Exploring evapotranspiration changes in a typical endorheic basin through the integrated observatory network. Agricultural and Forest Meteorology.

Qu, Y. Q., Zhu, Z. L*., Montzka, C., Chai, L. N., Liu, S. M., Ge, Y., Liu, J., Lu, Z., He X. L., Zheng, J., Han, T., 2020. Inter-comparison of Several Soil Moisture Downscaling Methods over the Qinghai-Tibet Plateau, China. Journal of Hydrology.

Zhao, J. X., Feng, H, Z., Xu, T. R*., Xiao, J. F., Rossella, G., Liu, S. M., Wu, X. C., He X. L., He, X, P., 2020. Physiological and Environmental Control on Ecosystem Water Use Efficiency in Response to Drought across the Northern Hemisphere. Science of the Total Environment.

Feng, H. Z., Xu, T, R*., Liu, L. Y., Zhou, S., Zhao, J. X., Liu, S. M., Xu, Z. W., Mao, K. B., He, X. L., Zhu, Z. L., Chai, L. N., 2021. Modeling Transpiration with Sun-Induced Chlorophyll Fluorescence Observations via Carbon-Water Coupling Methods. Remote Sensing.

Song, L. S*., Bateni, S. M., Xu, Y. H., Xu, T. R., He, X. L., KI, S. J., et al. 2021. Reconstruction of remotely sensed daily evapotranspiration data in cloudy-sky conditions. Agricultural Water Management.

Li, X., Liu, S. M*., Yang, X. F., Ma, Y. F., He, X. L., Xu, Z. W., Xu, T. R., et al. 2021. Upscaling Evapotranspiration from a Single-Site to Satellite Pixel Scale. Remote Sensing.

Zhang, Y., Liu, S. M*., Song, L. S., Li, X., Jia, Z. Z., Xu, T, R., Xu, Z. W., Yang, X. F., He, X. L., Yao, Y, J., Hu, G. C., 2022. Integrated Validation of Coarse Remotely Sensed Evapotranspiration Products over Heterogeneous Land Surfaces. Remote Sensing.

Tian, Y. Z., Xu, T. R*., Chen, F., He, X. L., Li, S., 2022. Can data assimilation improve short-term forecasts of land surface variables? Remote Sensing.

Wu, D. X., Liu, S. M*., Wu, X. C., Xu, T. R., Xu, Z. W., He, X. L., Shi, H. Y., 2023. Evaluation of the intrinsic temperature sensitivity of ecosystem respiration in typical ecosystems of an endorheic river basin. Agricultural and Forest Meteorology.

Zheng, C., Wang, S. Q*., Chen, J. M., Chen, J. H., Chen, B., He, X L., Li, H., Sun, L. G., 2023. Combination of Vegetation Indices and SIF Can Better Track Phenological Metrics and Gross Primary Production. Journal of Geophysical Research: Biogeosciences.

Wei, J. X., Dong, W. C., Liu, S. M*., Song, L. S., Zhou, J., Xu, Z. W., Wang, Z. W., Xu, T, R., He, X. L., Sun, J. W., 2023. Mapping super high resolution evapotranspiration in oasis-desert areas using UAV multi-sensor data. Agricultural Water Management.

Zheng, C., Wang, S. Q*., Chen, J. H., Xiang, N., Sun, L. G., Chen, B., Zheng, F., Zhu, K., He, X L., 2023. Divergent impacts of VPD and SWC on ecosystem carbon-water coupling under different dryness conditions. Science of the Total Environment.

Li, X., Xue, F., Ding, J. L., Xu, T. R., Song, L. S., Pang, Z. J., Wang, J., Xu, Z. W., Ma, Y. F., Lu, Z., Wu, D. X., Wei, J. X., He, X. L., Zhang, Y., 2024. A Hybrid Model Coupling Physical Constraints and Machine Learning to Estimate Daily Evapotranspiration in the Heihe River Basin. Remote Sensing.

Jiao, D. D., Liu, S. M*., Xu, Z. W., Song, L. S., L, Y., Liu, R., Wei, J. X., He, X. L., Wu, D. X., Xu, T. R., Guo, J. X. 2024. Spatio-temporal variations and multi-scale correlations of climate, water, land, and vegetation resources over the past four decades in the Heihe River Basin. Journal of Hydrology: Regional Studies.

Peng, Z. X., Liu, S. M*., Liu, R., He, X. L., Ma, J., Xu, Z. W., Zhou, J., Wu, D. X. 2025. Simulating Oasis-Desert Interactions in Artificial and Natural Oasis-Desert Areas: Integration of Remote Sensing Data and CFD Methodology. Agricultural and Forest Meteorology.

赵静学, 郭枝虾, 和鑫磊, 徐同仁, 刘绍民, 徐自为, 等. 2019. 黑河流域气温和降水再分析数据的不确定性评估. 干旱气象.